An accurate 3D shape context based non-rigid registration method for mouse whole-body skeleton registration

Xiao, Di, Zahra, Pierrick, Bourgeat, Pierrick, Berghofer, Paula, Acasto Tamayo, Oscar, Wimberley, Catriona, Gregoire, Marie Claude and Salvado, Olivier (2011). An accurate 3D shape context based non-rigid registration method for mouse whole-body skeleton registration. In: Benoit M. Dawant and David R. Haynor, Proceedings of SPIE - Progress in Biomedical Optics and Imaging, Medical Imaging 2011: Image Processing. Conference on Medical Imaging 2011: Image Processing, Lake Buena Vista, FL, United States, (79620V.1-79620V.10). 14-16 February 2011. doi:10.1117/12.877915

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Author Xiao, Di
Zahra, Pierrick
Bourgeat, Pierrick
Berghofer, Paula
Acasto Tamayo, Oscar
Wimberley, Catriona
Gregoire, Marie Claude
Salvado, Olivier
Title of paper An accurate 3D shape context based non-rigid registration method for mouse whole-body skeleton registration
Conference name Conference on Medical Imaging 2011: Image Processing
Conference location Lake Buena Vista, FL, United States
Conference dates 14-16 February 2011
Proceedings title Proceedings of SPIE - Progress in Biomedical Optics and Imaging, Medical Imaging 2011: Image Processing   Check publisher's open access policy
Journal name Medical Imaging 2011: Image Processing   Check publisher's open access policy
Place of Publication Bellingham, WA, United States
Publisher SPIE - International Society for Optical Engineering
Publication Year 2011
Sub-type Fully published paper
DOI 10.1117/12.877915
ISBN 978-0-81948-504-5
ISSN 0277-786X
1996-756X
Editor Benoit M. Dawant
David R. Haynor
Volume 7962
Start page 79620V.1
End page 79620V.10
Total pages 10
Collection year 2012
Language eng
Abstract/Summary Small animal image registration is challenging because of its joint structure, and posture and position difference in each acquisition without a standard scan protocol. In this paper, we face the issue of mouse whole-body skeleton registration from CT images. A novel method is developed for analyzing mouse hind-limb and fore-limb postures based on geodesic path descriptor and then registering the major skeletons and fore limb skeletons initially by thin-plate spline (TPS) transform based on the obtained geodesic paths and their enhanced correspondence fields. A target landmark correction method is proposed for improving the registration accuracy of the improved 3D shape context non-rigid registration method we previously proposed. A novel non-rigid registration framework, combining the skeleton posture analysis, geodesic path based initial alignment and 3D shape context model, is proposed for mouse whole-body skeleton registration. The performance of the proposed methods and framework was tested on 12 pairs of mouse whole-body skeletons. The experimental results demonstrated the flexibility, stability and accuracy of the proposed framework for automatic mouse whole body skeleton registration.
Keyword Non-rigid registration
Mouse whole body skeleton registration
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status Non-UQ

 
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